Fuzzy-AHP approach for performance measurement in shrimp agroindustry

L. Herlina, Y. Dwiyanti
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Abstract

Received: 24 Oktober 2021 Revision: 26 Oktober 2021 Accepted: 31 Oktober 2021 Performance measurement is needed by industry, including the food processing industry. One of the food processing industries is shrimp agroindustry. Performance measurement for shrimp agroindustry is necessary because of competition from similar industries. Performance measurement can be used as a basis for making strategies in decision-making systems. It is one way the shrimp agroindustry survives in market competition. This study aims to determine the performance matrix in the shrimp agroindustry. Fuzzy-AHP is used to design performance measurements. The results of the performance matrix are as follows: efficiency (0.268), quality (0.226), flexibility (0.061), responsiveness (0.120), coordination and collaboration (0.085) and sustainability (0.239).
模糊层次分析法在对虾农业生产绩效评价中的应用
收稿日期:2021年10月24日修订日期:2021年10月26日接受日期:2021年10月31日行业需要绩效评估,包括食品加工业。食品加工业之一是虾农工业。由于同类行业的竞争,对虾农业的绩效评估是必要的。绩效测量可以作为决策系统制定策略的基础。这是虾农产业在市场竞争中生存的途径之一。本研究旨在确定虾类农用产业的绩效矩阵。采用模糊层次分析法设计性能度量。绩效矩阵的结果为:效率(0.268)、质量(0.226)、灵活性(0.061)、响应性(0.120)、协调与协作(0.085)、可持续性(0.239)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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